ArticlePlastic and reconstructive surgery. Global open2022
Low Baseline Expression of Fibrotic Genes in an Ex Vivo Human Skin Model is a Potential Indicator of Excessive Skin Scarring.
Article in Plastic and reconstructive surgery. Global open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- A human ex vivo model of radiation-induced skin injury recapitulates p53-driven profibrotic response to radiotherapy.JCI insight · 2026Article
- Non-ablative fractional laser 1940-nm treatment modulates epigenetic signatures associated with skin aging in a split-face investigation.Scientific reports · 2026Article
- Non-Invasive Extracellular Vesicle Biomarkers in Endometriosis, Molecular Signatures Linking Pelvic Inflammation, Oocyte Quality, and IVF OutcomesCurrent issues in molecular biology · 2025Review
- LINC01711 modulates proliferation, migration, and extracellular matrix deposition of hypertrophic scar fibroblasts by targeting miR-34a-5p.Archives of dermatological research · 2025Article
- The Relationship between Time, Race, and Estrogen Receptor Alpha in Estradiol-Induced Dermal Fibrosis.Biomedicines · 2024Article
- The Wound Reporting in Animal and Human Preclinical Studies (WRAHPS) Guidelines.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair SocietyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the challenges plastic surgeons face is the unpredictability of postoperative scarring. The variability of wound healing and subsequent scar formation across patients makes it virtually impossible to predict if a patient's surgery will result in excessive fibrosis and scarring, possibly amounting to keloids or hypertrophic scars. There is a need to find predictive molecular indicators of patients or skin location with high risk of excessive scarring. We hypothesized that baseline expression levels of fibrotic genes in the skin can serve as a potential indicator of excessive scarring. Methods: An ex vivo model of skin fibrosis was used with abdominal and breast skin tissue from 45 patients undergoing breast reduction and/or abdominoplasty. Fibrosis was induced in skin explants in organ culture with transforming growth factor-β (TFGβ). Fibrotic gene response was assessed via quantitative real-time polymerase chain reaction and correlated with skin location, age, and baseline levels of fibrotic genes. Results: The increase in TFGβ-induced fibronectin1 Conclusions: Skin sites exhibit different baseline levels of profibrotic genes. Further, low baseline expression levels of fibrotic genes FN1, Collagen 1A1, and alpha smooth muscle actin, in donor skin may indicate a potential for excessive scarring of the skin.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.